Machine learning is the future of data science and data analysis. If you are considering a career in any of these fields, machine learning is an extremely important skill for you to acquire. Machine learning is simply a form of artificial intelligence where the system can take note from experience and improve itself without needing to be programmed specifically. This makes the system a lot more flexible and you can use it for a variety of different applications with different specificities. But it is not always easy to pick up the complex concepts of machine learning. Fortunately, there are more than a few ways to pick up these skills even if you did not learn them professionally. The following are some of the top machine learning courses you can find online.
Machine Learning A-Z¢¢: Hands-On Python & R In Data Science
Machine Learning A-Z¢¢: Hands-On Python & R In Data Science is an incredibly comprehensive course offered on Udemy. The course has been put together by two data scientists who know exactly what they are doing and are experts in their field. But while it has been designed by industry professionals, the course is by no means difficult and you will be able to follow through with the modules with great ease. But given that machine learning can be complicated and tricky, the course has been broken down into 10 parts so you can take matters step by step. Some of the modules include ‘Data Processing’, ‘Clustering’, ‘Deep Learning’, ‘Association Rule Learning’, etc. This is certainly one of the best online courses on Machine Learning that you can consider.
Data Science and Machine Learning Boot Camp with R
Data Science and Machine Learning Boot Camp with R may sound scary (when has a boot camp ever be fun?), but the course ensures that everyone stays on the same page and takes some crucial learning away from the modules. The course is an accessible one and even complete novices can try their hand at machine learning through this course. If you have some experience with machine learning and want to graduate to data science, this is a course tailor-made for you as well! The course consists of more than 100 video lectures in HD quality. It is a highly comprehensive course and can compete with some of the high-end courses in the market.
Machine Learning, Data Science and Deep Learning with Python
Machine Learning, Data Science and Deep Learning with Python is a great course for you to learn the important basics of machine learning without getting sucked up in the jargon. This is a comprehensible course that breaks down complicated concepts into a language that you can understand, without confusing you with mathematical equations. After breaking the concepts down in English, the next step is to use Python code and show you ways to explore and experiment with the algorithm in order to get the most out of it. The great thing about this course is that you can also hold onto the notes you acquire from it so that you can refer to it at a future date at any time. The course includes more than 100 lectures that are covered over 14 hours. Once you are done with the various modules the course has to offer, you will be able to work on a final project where you can test how much you have learned from the course and apply it to a real-life project.
Machine Learning (Stanford)
The Machine Learning course offered by Stanford is one of the best courses that you can consider for yourself. This is a comprehensive course that provides you with a holistic understanding of machine learning. Apart from machine learning, you will be acquainted with practical concepts such as statistical pattern recognition, data taming, and more. Some of the topics that you will be learning about are the following — supervised learning (which includes parametric/non-parametric algorithms, neural networks, etc), unsupervised learning (deep learning, clustering, recommender systems, etc), and best practices in machine learning (which include bias or variance theory, among other things). Through the course, not only will you be learning through theoretical concepts but there will also be case studies through which you can sharpen your fundamentals more astutely. You will be able to deploy algorithms for building smart robots, for understanding complex texts, for database mining and other things.
Data Science: Machine Learning
Data Science: Machine Learning is a part of the Professional Certificate Program in Data Science offered on edX by Harvard University. When you hear the name Harvard, you know that the course is going to be of a certain repute and completely worth your time. In this course, you will be able to learn about training data and will also be able to use that data to recognize possible predictive relationships and patterns. The main project that you will be working on through the course will be a movie recommendation system that you will build from scratch. This hands-on project will also allow you to learn from your mistakes on the go as you will keep getting live feedback on the system you are building. Through the building process, you will be able to train algorithms in an effort to predict certain possibilities of future datasets. While you will be learning all these skills through the specific project of building a movie recognition system, you can apply what you learn from this project into several other areas of machine learning and data analysis. Besides, who doesn’t love movies and what fun would it be to build your own system of movie recommendations?
Introduction to Machine Learning Course
The Introduction to Machine Learning Course is a great way to acquaint yourself with this crucial data analysis skill. With this course, you will be able to pick up the end-to-end process through which data is investigated. The whole process of data investigation is regarded in terms of machine learning in this course. You will be able to highlight portions from large clumps of data that are the best representation of the larger pool of data. Through this course, you will also learn how to keep track of your machine learning algorithms and make note of whether they are working well or not. This is a course that is hyper-aware that machine learning is required to draw a bridge between computer science and statistics. If you are interested in a career in data analysis and data science, this is a great course to consider.
Become a Machine Learning Engineer
Become a Machine Learning Engineer is a course for advanced machine learning. In this course, you will be taught to work with complex algorithms and will be able to take your work to fruition by bringing it to production. The course encourages you to Amazon SageMaker through which you can get some hands-on, real-life and practical knowledge. You can see how your models are doing by placing trained models in a web application. This will provide you with immediate feedback and you will be able to learn from the process more effectively. However, this is a slightly more complex course so you will need to have some basic knowledge of machine learning and algorithms in order to take this course and excel in it.
Introduction to Machine Learning Problem Framing
The Introduction to Machine Learning Problem Framing is a comprehensive course that you can learn straight from Google’s Artificial Intelligence experts. This is a course that has been thought out thoroughly and you will be taken through the various aspects of the course, and of machine learning problem framing, step by step. There are a few different stages in which this course will take place, some of these steps include defining common terms used for machine learning, identifying common examples of products that employ machine learning and various methods of problem-solving used in each of these examples. You will also be contrasting machine learning to other varieties of programming methods to understand the true comparison. In the course, you will at first define the machine learning problem and then put forward a solution. Once you have done that, you will be creating a dataset, transforming data and then training a model. Using that model, you will be making your predictions. The course is not very long but it will require some attention and unpacking of concepts. Even if you are a complete novice, you can still take the course but it may take you slightly longer to complete the course. With this course, you will be able to frame machine learning problems within no time and when you can identify a problem, you can also propose a solution.
If data is your thing then being proficient in machine learning is important. The above courses are aimed to help you become a pro at machine learning.
Want to keep your growing your knowledge? Excel is a great data management tool if you know how to use it and can come in handy for data analysis. Use our article on the best online Excel courses and learn how to use excel in addition to machine learning for your data.
- Machine Learning A-Z¢¢: Hands-On Python & R In Data Science
- Data Science and Machine Learning Boot Camp with R
- Machine Learning, Data Science and Deep Learning with Python
- Machine Learning (Stanford)
- Data Science: Machine Learning
- Introduction to Machine Learning Course
- Become a Machine Learning Engineer
- Introduction to Machine Learning Problem Framing
- Final Thoughts